Analyzing the security of e-Health data based on a hybrid federated learning model
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2023.
Detalhes bibliográficos
Principais autores: |
Shafin, Md. Mehtabul Islam,
Akhter, Sabrin,
Hasan, Mohammad Shafkat,
Nasimuzzaman, Md.,
Prithul, Tamzeedur Rahman |
Outros Autores: |
Zaman, Shakila |
Formato: | Tese
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Idioma: | English |
Publicado em: |
Brac University
2023
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Assuntos: | |
Acesso em linha: | http://hdl.handle.net/10361/19294
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